Using mean shift algorithm in the recognition of industrial data matrix codes

  • Authors:
  • Ion-Cosmin Dita;Vasile Gui;Marius Otesteanu;Franz Quint

  • Affiliations:
  • Politehnica University of Timisoara, Faculty of Electronics and Telecommunications, Timisoara, Romania;Politehnica University of Timisoara, Faculty of Electronics and Telecommunications, Timisoara, Romania;Politehnica University of Timisoara, Faculty of Electronics and Telecommunications, Timisoara, Romania;University of Applied Sciences, Karlsruhe, Faculty of Electrical Engineering and Information Technology, Karlsruhe, Germany

  • Venue:
  • SITE'12 Proceedings of the 11th international conference on Telecommunications and Informatics, Proceedings of the 11th international conference on Signal Processing
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

Data Matrix Codes (DMC) are established by these days in many areas of industrial manufacturing thanks to their concentration of information on small spaces. In today's usually order-related industry, where increased tracing requirements prevail, they offer further advantages over other identification systems. This underlines in an impressive way the necessity of a robust code reading system for detecting DMC on the components in factories. This paper provides a solution for the Data Matrix Codes recognition. Using the Mean Shift Algorithm, the main information of the DMC pattern are computed and based on these, a virtual identification pattern is constructed. Seeking and matching over the image, the Data Matrix Code is located. We concentrate on Data Matrix Codes in industrial environment, punched, milled, lasered or etched on different materials in arbitrary orientation.